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Tremendous progress in speech and language processing has brought languagetechnologies closer to daily human life. Voice technology has the potential toact as a horizontal enabling layer across all aspects of digitization. It isespecially beneficial to rural communities in scenarios like a pandemic. Inthis work we present our initial exploratory work towards one such direction --building voice enabled banking services for multilingual societies. Speechinteraction for typical banking transactions in multilingual communitiesinvolves the presence of filled pauses and is characterized by Code Mixing.Code Mixing is a phenomenon where lexical items from one language are embeddedin the utterance of another. Therefore speech systems deployed for bankingapplications should be able to process such content. In our work we investigatevarious training strategies for building speech based intent recognitionsystems. We present our results using a Naive Bayes classifier on approximateacoustic phone units using the Allosaurus library.

Mere account mein kitna balance hai? -- On building voice enabled Banking Services for Multilingual Communities